One is proposed to update the step size based on the gradient in the adaptation. Steady state performance analysis and parameter choice guideline are also provided to facilitate its application.
同时给出该算法的稳态分析并提供参数选择的依据，通过仿真验证该算法在不同噪声环境下收敛性能的优越性及稳态分析的正确性。
One is proposed to update the step size based on the gradient in the adaptation. Steady state performance analysis and parameter choice guideline are also provided to facilitate its application.
同时给出该算法的稳态分析并提供参数选择的依据，通过仿真验证该算法在不同噪声环境下收敛性能的优越性及稳态分析的正确性。
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